mirror of https://github.com/skygpu/skynet.git
78 lines
1.3 KiB
Markdown
78 lines
1.3 KiB
Markdown
# skynet
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### decentralized compute platform
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To launch a worker:
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### native install
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system dependencies:
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- `cuda` 11.8
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- `llvm` 10
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- `python` 3.10+
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- `docker` (for ipfs node)
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```
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# create and edit config from template
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cp skynet.toml.example skynet.toml
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# install poetry package manager
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curl -sSL https://install.python-poetry.org | python3 -
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# install
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poetry install
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# enable environment
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poetry shell
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# test you can run this command
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skynet --help
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# launch ipfs node
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skynet run ipfs
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# to launch worker
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skynet run dgpu
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```
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### dockerized install
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system dependencies:
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- `docker` with gpu enabled
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```
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# create and edit config from template
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cp skynet.toml.example skynet.toml
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# pull runtime container
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docker pull guilledk/skynet:runtime-cuda
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# or build it (takes a bit of time)
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./build_docker.sh
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# launch simple ipfs node
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./launch_ipfs.sh
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# run worker with all gpus
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docker run \
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-it \
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--rm \
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--gpus all \
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--network host \
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--name skynet-worker \
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--mount type=bind,source="$(pwd)",target=/root/target \
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guilledk/skynet:runtime-cuda \
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skynet run dgpu
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# run worker with specific gpu
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docker run \
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-it \
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--rm \
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--gpus '"device=1"' \
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--network host \
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--name skynet-worker-1 \
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--mount type=bind,source="$(pwd)",target=/root/target \
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guilledk/skynet:runtime-cuda \
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skynet run dgpu
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```
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